---
title: "agent-starter-pack vs langchain-production-starter"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/googlecloudplatform-agent-starter-pack-vs-steamship-core-langchain-production-starter"
tools: ["googlecloudplatform-agent-starter-pack", "steamship-core-langchain-production-starter"]
---

# agent-starter-pack vs langchain-production-starter

*GraphCanon updated Aug 20, 2026*

## Verdict

Pick agent-starter-pack if agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python; pick langchain-production-starter if langchain-production-starter offers a Python-based starter kit for deploying LangChain agents and integrating them with Telegram.

[agent-starter-pack](http://goo.gle/agents-cli) reports 6.5k GitHub stars, 1.5k forks, and 49 open issues, last pushed Jul 21, 2026. [langchain-production-starter](https://github.com/steamship-core/langchain-production-starter) has 477 stars, 557 forks, and 4 open issues, last pushed Jul 27, 2023. Figures are from public GitHub metadata via [agent-starter-pack's repository](https://github.com/GoogleCloudPlatform/agent-starter-pack) and [langchain-production-starter's repository](https://github.com/steamship-core/langchain-production-starter).

| | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) |
| --- | --- | --- |
| Tagline | Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability | Deploy LangChain Agents and connect them to Telegram |
| Stars | 6,537 | 477 |
| Forks | 1,502 | 557 |
| Open issues | 49 | 4 |
| Language | Python | Python |
| Adopt for | agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. | langchain-production-starter offers a Python-based starter kit for deploying LangChain agents and integrating them with Telegram. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | - |
| Categories | AI Agents, Evaluation & Observability | AI Agents |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Dormant (18%) |
| Days since push | 29d | 1114d |
| Open issues (now) | 49 | 4 |
| Stars delta | +18 (30d) | 0 (30d) |
| Open issues delta | +1 (30d) | 0 (30d) |
| Full report | [trust report](/tools/googlecloudplatform-agent-starter-pack/trust.md) | [trust report](/tools/steamship-core-langchain-production-starter/trust.md) |

## Shared compatibility

- **Python**: [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) - Python runtime; [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) - Python runtime

## Decision facts: agent-starter-pack

- **Requirements:** Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks.
- **Adopt for:** agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python.

## Decision facts: langchain-production-starter

- **Adopt for:** langchain-production-starter offers a Python-based starter kit for deploying LangChain agents and integrating them with Telegram.

## Choose when

### Choose agent-starter-pack if…

- Requirements: Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks..
- Tags unique to agent-starter-pack: agents, gcp, gemini, genai-agents.
- Also covers Evaluation & Observability.
- You are working with Google Cloud and wish to deploy generative AI agents quickly using production-ready templates that come with integrated CI/CD pipelines.

### Choose langchain-production-starter if…

- Tags unique to langchain-production-starter: chatbot, gpt4, langchain, langchain-python.
- - You require integration of your AI chatbot with the Telegram platform, as this tool specifically includes instructions to fetch a Telegram key for such integration.
- Leaner open-issue backlog (4).

## When NOT to use agent-starter-pack

- Your project is hosted on a cloud provider other than Google Cloud, as this tool is optimized for GCP services and uses Terraform specifically configured for deployment with it.
- You do not need or want built-in CI/CD pipelines and evaluation tools, preferring to manage these components separately through different tools or self-configured setups.

## When NOT to use langchain-production-starter

- - If you are not using Python as your primary language since the repository requires installing dependencies with 'pip', making it less suitable if your development is in another language.
- - Projects that do not require Telegram integration can find this starter kit less relevant, as a significant portion of its setup guide focuses on connecting to Telegram.
- - If you need to deploy agents without any social media or messaging platform integrations.

## Common questions

### What is the difference between agent-starter-pack and langchain-production-starter?

agent-starter-pack: Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability. langchain-production-starter: Deploy LangChain Agents and connect them to Telegram. See the comparison table for live GitHub stats and shared categories.

### When should I choose agent-starter-pack over langchain-production-starter?

Choose agent-starter-pack over langchain-production-starter when Requirements: Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks.; Tags unique to agent-starter-pack: agents, gcp, gemini, genai-agents; Also covers Evaluation & Observability; You are working with Google Cloud and wish to deploy generative AI agents quickly using production-ready templates that come with integrated CI/CD pipelines.

### When should I choose langchain-production-starter over agent-starter-pack?

Choose langchain-production-starter over agent-starter-pack when Tags unique to langchain-production-starter: chatbot, gpt4, langchain, langchain-python; - You require integration of your AI chatbot with the Telegram platform, as this tool specifically includes instructions to fetch a Telegram key for such integration; Leaner open-issue backlog (4).

### When should I avoid agent-starter-pack?

Your project is hosted on a cloud provider other than Google Cloud, as this tool is optimized for GCP services and uses Terraform specifically configured for deployment with it. You do not need or want built-in CI/CD pipelines and evaluation tools, preferring to manage these components separately through different tools or self-configured setups.

### When should I avoid langchain-production-starter?

- If you are not using Python as your primary language since the repository requires installing dependencies with 'pip', making it less suitable if your development is in another language. - Projects that do not require Telegram integration can find this starter kit less relevant, as a significant portion of its setup guide focuses on connecting to Telegram. - If you need to deploy agents without any social media or messaging platform integrations.

### Is agent-starter-pack or langchain-production-starter more popular on GitHub?

agent-starter-pack has more GitHub stars (6,537 vs 477). Stars measure visibility, not whether either tool fits your constraints.

### Are agent-starter-pack and langchain-production-starter open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to agent-starter-pack or langchain-production-starter?

GraphCanon lists graph-backed alternatives at [agent-starter-pack alternatives](/tools/googlecloudplatform-agent-starter-pack/alternatives) and [langchain-production-starter alternatives](/tools/steamship-core-langchain-production-starter/alternatives) ([agent-starter-pack markdown twin](/tools/googlecloudplatform-agent-starter-pack/alternatives.md), [langchain-production-starter markdown twin](/tools/steamship-core-langchain-production-starter/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/googlecloudplatform-agent-starter-pack-vs-steamship-core-langchain-production-starter.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agent-starter-pack or langchain-production-starter?

agent-starter-pack: Active. langchain-production-starter: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for agent-starter-pack and langchain-production-starter?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-starter-pack trust report](/tools/googlecloudplatform-agent-starter-pack/trust); [langchain-production-starter trust report](/tools/steamship-core-langchain-production-starter/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=googlecloudplatform-agent-starter-pack`](/api/graphcanon/graph?tool=googlecloudplatform-agent-starter-pack)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
